Training in progress epoch 0

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 3.9105
-- Validation Loss: 4.0966
-- Train Accuracy: 0.625
-- Epoch: 3
+- Train Loss: 4.5366
+- Validation Loss: 4.4671
+- Train Accuracy: 0.3125
+- Epoch: 0
 
 ## Model description
 
@@ -43,10 +43,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 4.5820     | 4.5085          | 0.15           | 0     |
-| 4.3483     | 4.3804          | 0.425          | 1     |
-| 4.1216     | 4.2393          | 0.55           | 2     |
-| 3.9105     | 4.0966          | 0.625          | 3     |
+| 4.5366     | 4.4671          | 0.3125         | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:f09692abfcf4cbb9d6e623854e2e3d42d56df7cd62287039b207d2306f08811e
 size 343773880